EXPLORATORY SEARCH ON THE MOBILE WEB

Günter Neumann, Sven Schmeier

2012

Abstract

We present a mobile touchable application for online topic graph extraction and exploration of web content. The system has been implemented for operation on a tablet computer, i.e. an Apple iPad, and on a mobile device, i.e. Apple iPhone or iPod touch. The topics are extracted from web snippets which are determined by a standard search engine. We consider the extraction of topics as a specific empirical collocation extraction task where collocations are extracted between chunks combined with the cluster descriptions of an online clustering algorithm. Our measure of association strength is based on the pointwise mutual information between chunk pairs which explicitly takes their distance into account. These syntactically–oriented chunk pairs are then semantically ranked and filtered using the cluster descriptions. An initial user evaluation shows that this system is especially helpful for finding new interesting information on topics about which the user has only a vague idea or even no idea at all.

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Paper Citation


in Harvard Style

Neumann G. and Schmeier S. (2012). EXPLORATORY SEARCH ON THE MOBILE WEB . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-95-9, pages 82-91. DOI: 10.5220/0003736800820091

in Bibtex Style

@conference{icaart12,
author={Günter Neumann and Sven Schmeier},
title={EXPLORATORY SEARCH ON THE MOBILE WEB},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2012},
pages={82-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003736800820091},
isbn={978-989-8425-95-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - EXPLORATORY SEARCH ON THE MOBILE WEB
SN - 978-989-8425-95-9
AU - Neumann G.
AU - Schmeier S.
PY - 2012
SP - 82
EP - 91
DO - 10.5220/0003736800820091